Combining signal-interference-ratio (SIR) estimates for improved SIR estimation
View Patent ↗An overall SIR estimate is based on a weighted-average of different SIR estimates, wherein the weights are chosen to minimize the mean-square-error (MSE) of the overall SIR estimate. Alternatively, the overall SIR estimate is based on a selection from among the different SIR estimates, based on the expected reliability of each SIR estimate. The expected reliability of each SIR estimate may be based on the current format of the transmitted signal and/or a prior estimated SIR level.
1. A communications device comprising:
a receiver that is configured to receive an information signal, and
an estimator that is configured to determine a composite SIR measure,
wherein an SIR measure is a measure of signal strength in the information signal relative to noise in the information signal, and
the estimator includes: a coherent estimator that is configured to determine a coherent SIR measure, based on received known pilot signals in the information signal, a non-coherent estimator that is configured to determine a non-coherent SIR measure, based on received unknown data signals in the information signal, a decision-feedback estimator that is configured to determine a decision feedback SIR measure, based on determined data signals in the information signal, and a controller that is configured to determine the composite SIR measure based on at least one of the coherent SIR measure, the non-coherent SIR measure, and the decision-feedback SIR measure, wherein at least one of the coherent estimator, the non-coherent estimator and the decision-feedback estimator is not enabled so that at least one of the coherent SIR measure, the non-coherent SIR measure and the decision feedback SIR measure is not computed to determine the composite SIR measure.
2. The communications device of claim 1 , further including a transmitter that is configured to communicate the composite SIR measure to another communications device that provided the information signal.
3. The communications device of claim 1 , wherein the controller is configured to determine the composite measure based on a select one or more of the coherent SIR measure, the non-coherent SIR measure, and the decision-feedback SIR measure.
4. The communications device of claim 3 , wherein the controller is configured to select the select one or more of the coherent SIR measure, the non-coherent SIR measure, and the decision-feedback SIR measure, based on a prior composite SIR measure.
5. The communications device of claim 4 , wherein the controller is further configured to determine the composite measure based on a mean-square-error measure associated with at least one of: the coherent SIR measure, the non-coherent SIR measure, and decision-feedback SIR measures.
6. The communications device of claim 3 , wherein the controller is configured to select the select one or more of the coherent SIR measure, the non-coherent SIR measure, and the decision-feedback SIR measure, based on a format of the information signal.
7. The communications device of claim 3 , wherein the controller is configured to select the select one or more of the coherent SIR measure, the non-coherent SIR measure, and the decision-feedback SIR measure, based on a ratio of a quantity of the pilot bits to a quantity of the data bits in the information signal.
8. The communications device of claim 7 , wherein the controller is further configured to select the select one or more of the coherent SIR measure, the non-coherent SIR measure, and the decision-feedback SIR measure, based on an accuracy measure associated with at least one or more of the coherent SIR measure, the non-coherent SIR measure, and the decision-feedback SIR measure.
9. A method of determining a composite SIR measure, comprising:
selectively enabling a determination of
a coherent SIR measure, based on a reception of known pilot symbols,
a non-coherent SIR measure, based on a reception of unknown data symbols, and
a decision feedback SIR measure, based on a reception of determined data symbols, and
determining the composite SIR measure based on at least one of the coherent SIR measure, the non-coherent SIR measure, and the decision-feedback SIR measure
wherein at least one of the coherent SIR measure, the non-coherent SIR measure and the decision feedback SIR measure is not computed to determine the composite SIR measure.
10. The method of claim 9 , wherein the decision feedback SIR measure is not computed when a previous SIR measure is above a threshold level, and wherein the non-coherent SIR measure is not computed when the previous SIR measure is below the threshold level.
11. The communications device of claim 1 , wherein the controller is further configured to determine the composite SIR measure as a weighted average of two of the coherent SIR measure, the non-coherent SIR measure and the decision-feedback SIR measure.
12. The communications device of claim 1 , wherein only one of the decision-feedback estimator and the non-coherent estimator is enabled.
13. The communications device of claim 1 , wherein the decision feedback SIR measure is not computed when a previous SIR measure is above a threshold level, and wherein the non-coherent SIR measure is not computed when the previous SIR measure is below the threshold level.
14. The communications device of claim 12 , wherein only one of the decision-feedback estimator and the non-coherent estimator is enabled based on a previous SIR estimate.
15. The communications device of claim 1 , wherein only two of the coherent estimator, the non-coherent estimator and the decision-feedback estimator are enabled.
16. The communications device of claim 15 , wherein only two of the coherent estimator, the non-coherent estimator and the decision-feedback estimator that are associated with the lowest mean-square-error measures are enabled.
17. The communications device of claim 1 , wherein only one of the coherent estimator, the non-coherent estimator and the decision-feedback estimator with the most accurate SIR estimate is enabled.
18. The communications device of claim 1 , wherein the coherent estimator is always enabled.
19. The communications device of claim 1 , wherein at least one of the coherent estimator, the non-coherent estimator and the decision-feedback estimator is enabled based on a slot format of the information signal.
20. A communications device comprising:
a receiver that is configured to receive an information signal, and
an estimator that is configured to determine a composite SIR measure,
wherein an SIR measure is a measure of signal strength in the information signal relative to noise in the information signal, and
the estimator includes: a coherent estimator that is configured to determine a coherent SIR measure, based on received known pilot signals in the information signal, a non-coherent estimator that is configured to determine a non-coherent SIR measure, based on received unknown data signals in the information signal, a decision-feedback estimator that is configured to determine a decision feedback SIR measure, based on determined data signals in the information signal, and a controller that is configured to determine the composite SIR measure based on at least one of the coherent SIR measure, the non-coherent SIR measure, and the decision-feedback SIR measure,
wherein the composite SIR measure, the coherent SIR measure, the non-coherent SIR measure and the decision-feedback SIR measure satisfy:
γ tot =α 1 γ coh +α 2 γ incoh +α 3 γ df ,
where γ tot represents the composite SIR measure, γ coh represents the coherent SIR measure, γ incoh represents the non-coherent SIR measure, γ df represents the decision-feedback SIR measure, α 1 represents a weighting coefficient for the coherent SIR measure, α 2 represents a weighting coefficient for the non-coherent SIR measure, and α 3 represents a weighting coefficient for the decision-feedback SIR measure, and
wherein the weighting coefficient for the coherent SIR measure, the weighting coefficient for the non-coherent SIR measure, and the weighting coefficient for the decision-feedback SIR measure satisfy:
a
1
=
MSE
2
MSE
3
MSE
1
+
MSE
2
+
MSE
3
,
a
2
=
MSE
1
MSE
3
MSE
1
+
MSE
2
+
MSE
3
,
a
3
=
MSE
1
MSE
2
MSE
1
+
MSE
2
+
MSE
3
,
where MSE 1 represents a mean-square-error measure associated with the coherent SIR measure, MSE 2 represents a mean-square-error measure associated with the non-coherent SIR measure, and MSE 3 represents a mean-square-error measure associated with the decision-feedback SIR measure.